boston-housing
There are 29 repositories under boston-housing topic.
rongmax-gufei/udacity-mlnd-boston-housing
Udacity机器学习入门 / 进阶 预测波士顿房价 Branch master / v1
qin-yu/julia-regression-boston-housing
Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset
cakmakaf/boston_housing
We apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.
MaxInGaussian/GPoFM
GPoFM: Gaussian Process Training with Optimized Feature Maps for Shift-Invariant Kernels
pranav-ashokk/boston-housing-price-prediction
I created a machine learning regression model that predicts housing prices in Boston. This model is created using supervised learning from a dataset created by UCI (University of California, Irvine).
sminerport/BostonHousingAnalysis
Boston Housing Analysis: This repo presents an in-depth analysis of the Boston Housing dataset using Linear, Lasso, and Ridge Regression models. It explores data, preprocesses features, visualizes relationships, and evaluates model performance.
Venka97/Boston-housing
Used machine learning techniques to predict the prices of houses in the Boston housing market dataset.
agoila/boston_housing
Udacity MLND P1: Predicting Boston Housing prices
akshaykhadse/ml-linear-regression
Repository for Assignment 1 for CS 725
eloyekunle/boston_housing
Predicting Boston house prices with Machine Learning.
kbasu2016/Udacity-MLND
This repository showcases projects that I have done as a partial fulfillment for Udacity's Machine-Learning Nano Degree program. The projects involve Supervised Machine Learning, Unsupervised Machine Learning , Reinforcement Learning as tools to solve the data driven problems coming from different real life situations.
optimistanoop/Machine-Learning-Foundation-Nanodegree
This repo contains projects developed in Machine Learning Foundation Nanodegree.
ricardobreis/Linear-Regression-Boston-Housing
Predicting house prices of the "Boston Housing" dataset.
vishaldpatel92/Linear-Regression-Model-for-Boston-Housing-Dataset-Vishal-_files
Implementing linear regression on Boston Housing dataset using scikit-learn
Zhikeng/personal-project-Zhikeng
MA Housing Assistance APP
briangridley/Urban-Informatics
Projects completed in the Urban Informatics masters degree program at Northeastern University - All projects completed in R
Programmer7129/Boston-Housing-Prediction-Model
This code file predicts the House prices (MEDV) based on given features.
Satyaki0924/boston-housing-with-minilearn
This project uses Mini-learn on Boston's housing data-set. Mini-learn is a miniature version of tensor-flow which I made to play around with neural nets. See https://github.com/Satyaki0924/minilearn for more information.
vivian-duong/Boston_Housing
Exploratory Data Analysis of Boston Housing Dataset Using R
ymubarak/Machine_Learning_Nanodegree
Projects of Udacity's Machine Learning Specialization Nanodegree program.
bhuiyanmobasshir94/deploying-a-sentiment-analysis-model
This repository contains code and associated files for deploying ML models using AWS SageMaker. This repository consists of a number of tutorial notebooks for various coding exercises, mini-projects, and project files that will be used to supplement the lessons of the Nanodegree.
dilayercelik/MLND-learning
Code and associated files created or filled in, used in my learning during the Machine Learning Engineer Udacity Nanodegree Program
inspectordanno/east_boston
Visualizing rent affordability in East Boston
jofaval/boston-housing
Regression Analysis into the Boston Housing in-demand pricing in 1978
roshanr11/boston-housing-predictions
Predicting housing prices using machine learning and the widely available Boston Housing dataset.
Siddhesh-Agarwal/Housing-Price-Regression
Boston Housing Price prediction using regressions